…This involves handling diverse data types and ensuring reliable, timely delivery to various downstream systems. Analytical Database Platform: Engineers on this team contribute to…

…and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents…

…and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents…

…account systems end-to-end - including building RESTful APIs, microservices, databases, automated tests, tooling, monitoring and alerting dashboards, etc. Partner with engineering and cross…

…and operate distributed data systems with strong correctness guarantees; implement monitoring, alerting, dashboards, and runbooks that keep revenue-impacting pipelines trustworthy. - Raise the Engineering…

…data processing platforms with required monitoring, alerting, and incident management, achieving growing independence Build working knowledge of data analytics and search concepts (distributed data…

…data processing platforms with required monitoring, alerting, and incident management, achieving growing independence Build working knowledge of data analytics and search concepts (distributed data…

…link network - Develop data pipelines for KPI tracking, anomaly detection, and proactive issue identification - Build observability platforms — dashboards, alerting, and real-time monitoring at…

…Distributed systems & cloud literacy: understanding of performance, partitioning, storage formats, compute engines, and cloud services. Data quality & observability mindset: automated tests, monitoring/alerting, SLAs…

…Experience with distributed systems, event-driven architectures, data pipelines, APIs, data modeling, or data-intensive services. Familiarity with analytical, operational, or warehouse data stores…

…product, engineering, and finance teams on transfer pricing, cost modeling, and product compliance requirements Identify and implement process improvements using data analysis and industry…

…on detection engineering for custom alerting, to include implementing risk-based analytics to reduce alert volumes and promote high-fidelity alert content Integrate external…

…alerts) and deploy AI/ML solutions to scale business outreach efficiency. Data Integrity & Analytics: Manage data pipelines and routine hygiene (deduplication, enrichment) across systems…

…Integrate advanced capabilities (e.g., machine learning–based anomaly detection and data validation) to enhance platform intelligence and insights. Implement robust monitoring, alerting, and…

…You will work alongside senior engineers and technical managers to design, build, and maintain production-grade data systems that directly enable operational decision-making…

…You bring deep expertise in distributed systems and large-scale data processing, strong analytical instincts, and the drive to ship high-quality solutions at…

…and communities of practice Drive initiatives to improve the reliability and stability of your team's applications and platforms using data-driven analytics to…

…Demonstrated experience building not just models, but decision systems that operationalize analytical outputs into business workflows and recurring decisions. Proven experience of data engineering…

…and building systems to ship high quality releases In-depth expertise in distributed systems and data processing Experience with data infrastructure and data analytics…

…in data structures and algorithms with experience in testing, debugging, and analytical skills Experience in designing and building large scale distributed systems with background…

…with distributed systems or cloud platforms - Effective communication skills, with the ability to work across disciplines including engineering, product, and data engineering teams Equal…

…with data plane infrastructure and SDK creation across one or more languages. Experience building complex distributed systems and sync/async message based platforms. An…

…This position is for someone who: • Passionate about distributed systems and planetary scale services. • Enjoys the challenge of designing cloud infrastructure platform components built…

…Experience with log analytics / observability tools (e.g., ELK, Splunk). AI/ML platform exposure (MLOps, feature engineering, model hosting/operationalization; AWS and/or hybrid…

…Strong data engineering intuition, including experience unifying and transforming data across multiple systems to create reliable, scalable datasets for robust downstream analysis and modeling…